Postdoctoral Fellow - Computational Mechanistic Modeling of Dynamic Biological Systems

A postdoctoral fellow position is available in the Department of Bioinformatics & Computational Biology. We are seeking a researcher with strong training in mathematics and computational science who has a career interest in modeling complex, dynamic biological systems, including tissues and the human immune system, in the context of disease and cancer progression. The role will focus on developing computational models for treatment approaches such as immunotherapy and targeted therapy. With the advent of single-cell and spatial omics, along with high-throughput functional screening data, there is an unprecedented opportunity to leverage molecular and cellular insights to enhance these models. This research has the potential to reduce reliance on animal models and significantly impact therapeutic development and treatment decision-making.

LEARNING OBJECTIVES

Develop important data scientific initiatives to support missions in personalized cancer medicine.

Become independent researchers with seminal publications.

Develop scientific network / recognition in cancer data science and broad biomedical research and medicine community.

ELIGIBILITY REQUIREMENTS

Ph.D. degree

Experience in the context of biomedical research.

Computation skills to manipulate high-throughput datasets.

Good teamwork and communication skills.

ADDITIONAL APPLICATION INFORMATION

At least 2 first-author publications.

POSITION INFORMATION

MD Anderson offers full-time postdoc positions with a . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent , including medical, dental, , , tuition benefits, educational opportunities, and individual and team recognition07 / 31 / 2025